SAS and R functions to compute pseudo-values for censored data regression

Klein, John P.; Gerster, Mette; Andersen, Per Kragh; Tarima, Sergey; Perme, Maja Pohar

doi:10.1016/j.cmpb.2007.11.017

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Volume 89, Issue 3 , Pages 289-300, March 2008

SAS and R functions to compute pseudo-values for censored data regression

John P. Klein
- Division of Biostatistics, Department of Population Health, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226, USA
- Corresponding author. Tel.: +1 414 456 8379.
Mette Gerster
- Department of Biostatistics, University of Copenhagen, Ø. Farimagsgade 5, PB 2099, DK 1014 Copenhagen K, Denmark
Per Kragh Andersen
- Department of Biostatistics, University of Copenhagen, Ø. Farimagsgade 5, PB 2099, DK 1014 Copenhagen K, Denmark
Sergey Tarima
- Division of Biostatistics, Department of Population Health, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226, USA
Maja Pohar Perme
- Department of Biostatistics, University of Copenhagen, Ø. Farimagsgade 5, PB 2099, DK 1014 Copenhagen K, Denmark
- Department of Biomedical Informatics, University of Ljubljana, Vrazov trg 2, SI-1000, Ljubljana, Slovenia

Received 13 July 2007; received in revised form 27 November 2007; accepted 27 November 2007.

Abstract

Recently, in a series of papers, a method based on pseudo-values has been proposed for direct regression modeling of the survival function, the restricted mean and cumulative incidence function with right censored data. The models, once the pseudo-values have been computed, can be fit using standard generalized estimating equation software. Here we present SAS macros and R functions to compute these pseudo-values. We illustrate the use of these routines and show how to obtain regression estimates for a study of bone marrow transplant patients.

Keywords: Cumulative incidence, GEE, Kaplan–Meier curves, Pseudo-values, Restricted mean survival